Pandas Profiling Report

Dataset statistics

Number of variables	10
Number of observations	5680
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	443.9 KiB
Average record size in memory	80.0 B

Variable types

Numeric	10

Alerts

`gross_revenue` is highly correlated with `purchases_no` and 2 other fields	High correlation
`recency_days` is highly correlated with `purchases_no`	High correlation
`purchases_no` is highly correlated with `gross_revenue` and 6 other fields	High correlation
`products_no` is highly correlated with `gross_revenue` and 2 other fields	High correlation
`items_no` is highly correlated with `gross_revenue` and 3 other fields	High correlation
`frequency` is highly correlated with `purchases_no` and 1 other fields	High correlation
`returns_no` is highly correlated with `purchases_no` and 1 other fields	High correlation
`satisfaction_rate` is highly correlated with `purchases_no` and 1 other fields	High correlation
`gross_revenue` is highly correlated with `purchases_no` and 1 other fields	High correlation
`purchases_no` is highly correlated with `gross_revenue` and 2 other fields	High correlation
`products_no` is highly correlated with `purchases_no`	High correlation
`items_no` is highly correlated with `gross_revenue` and 1 other fields	High correlation
`gross_revenue` is highly correlated with `purchases_no` and 2 other fields	High correlation
`purchases_no` is highly correlated with `gross_revenue` and 2 other fields	High correlation
`products_no` is highly correlated with `gross_revenue` and 1 other fields	High correlation
`items_no` is highly correlated with `gross_revenue` and 2 other fields	High correlation
`frequency` is highly correlated with `purchases_no`	High correlation
`returns_no` is highly correlated with `satisfaction_rate`	High correlation
`satisfaction_rate` is highly correlated with `returns_no`	High correlation
`df_index` is highly correlated with `customer_id` and 1 other fields	High correlation
`customer_id` is highly correlated with `df_index` and 1 other fields	High correlation
`gross_revenue` is highly correlated with `purchases_no` and 3 other fields	High correlation
`recency_days` is highly correlated with `df_index` and 1 other fields	High correlation
`purchases_no` is highly correlated with `gross_revenue` and 3 other fields	High correlation
`products_no` is highly correlated with `gross_revenue` and 3 other fields	High correlation
`items_no` is highly correlated with `gross_revenue` and 3 other fields	High correlation
`returns_no` is highly correlated with `gross_revenue` and 3 other fields	High correlation
`gross_revenue` is highly skewed (γ1 = 22.98688033)	Skewed
`items_no` is highly skewed (γ1 = 25.07233183)	Skewed
`returns_no` is highly skewed (γ1 = 30.93860988)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`customer_id` has unique values	Unique
`returns_no` has 4191 (73.8%) zeros	Zeros

Reproduction

Analysis started	2022-08-30 14:27:16.689574
Analysis finished	2022-08-30 14:27:50.745673
Duration	34.06 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	5680
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2888.28662

Minimum	0
Maximum	5770
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	0
5-th percentile	288.95
Q1	1450.75
median	2890.5
Q3	4329.25
95-th percentile	5480.05
Maximum	5770
Range	5770
Interquartile range (IQR)	2878.5

Descriptive statistics

Standard deviation	1664.582105
Coefficient of variation (CV)	0.576321648
Kurtosis	-1.196208613
Mean	2888.28662
Median Absolute Deviation (MAD)	1439.5
Skewness	-0.003557210241
Sum	16405468
Variance	2770833.583
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
3879	1	< 0.1%
3855	1	< 0.1%
3854	1	< 0.1%
3853	1	< 0.1%
3852	1	< 0.1%
3851	1	< 0.1%
3850	1	< 0.1%
3849	1	< 0.1%
3848	1	< 0.1%
Other values (5670)	5670	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
5770	1	< 0.1%
5769	1	< 0.1%
5768	1	< 0.1%
5767	1	< 0.1%
5766	1	< 0.1%
5765	1	< 0.1%
5764	1	< 0.1%
5763	1	< 0.1%
5762	1	< 0.1%
5761	1	< 0.1%

customer_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	5680
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16605.09894

Minimum	12347
Maximum	22709
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	12347
5-th percentile	12702.95
Q1	14291.75
median	16231
Q3	18212.25
95-th percentile	21743.2
Maximum	22709
Range	10362
Interquartile range (IQR)	3920.5

Descriptive statistics

Standard deviation	2808.520003
Coefficient of variation (CV)	0.1691359993
Kurtosis	-0.8231342656
Mean	16605.09894
Median Absolute Deviation (MAD)	1960
Skewness	0.4403964428
Sum	94316962
Variance	7887784.608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17850	1	< 0.1%
15007	1	< 0.1%
21087	1	< 0.1%
21086	1	< 0.1%
15578	1	< 0.1%
12424	1	< 0.1%
21084	1	< 0.1%
17837	1	< 0.1%
21081	1	< 0.1%
14327	1	< 0.1%
Other values (5670)	5670	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12347	1	< 0.1%
12348	1	< 0.1%
12349	1	< 0.1%
12350	1	< 0.1%
12352	1	< 0.1%
12353	1	< 0.1%
12354	1	< 0.1%
12355	1	< 0.1%
12356	1	< 0.1%
12357	1	< 0.1%

Value	Count	Frequency (%)
22709	1	< 0.1%
22708	1	< 0.1%
22707	1	< 0.1%
22706	1	< 0.1%
22705	1	< 0.1%
22704	1	< 0.1%
22700	1	< 0.1%
22699	1	< 0.1%
22696	1	< 0.1%
22695	1	< 0.1%

gross_revenue
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	5438
Distinct (%)	95.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1764.006007

Minimum	0.42
Maximum	279138.02
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	0.42
5-th percentile	13.3735
Q1	237.5475
median	615.265
Q3	1571.07
95-th percentile	5307.991
Maximum	279138.02
Range	279137.6
Interquartile range (IQR)	1333.5225

Descriptive statistics

Standard deviation	7525.596757
Coefficient of variation (CV)	4.266196786
Kurtosis	696.4651208
Mean	1764.006007
Median Absolute Deviation (MAD)	480.515
Skewness	22.98688033
Sum	10019554.12
Variance	56634606.55
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.95	9	0.2%
2.95	8	0.1%
1.25	8	0.1%
4.95	8	0.1%
1.65	7	0.1%
12.75	7	0.1%
3.75	7	0.1%
7.5	6	0.1%
5.95	6	0.1%
4.25	6	0.1%
Other values (5428)	5608	98.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.42	1	< 0.1%
0.65	1	< 0.1%
0.79	1	< 0.1%
0.84	4	0.1%
0.85	3	0.1%
1.07	1	< 0.1%
1.25	8	0.1%
1.44	1	< 0.1%
1.65	7	0.1%
1.69	1	< 0.1%

Value	Count	Frequency (%)
279138.02	1	< 0.1%
259657.3	1	< 0.1%
194550.79	1	< 0.1%
140450.72	1	< 0.1%
124564.53	1	< 0.1%
117379.63	1	< 0.1%
91062.38	1	< 0.1%
72882.09	1	< 0.1%
66653.56	1	< 0.1%
65039.62	1	< 0.1%

recency_days
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	304
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	116.8264085

Minimum	0
Maximum	373
Zeros	37
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	22
median	71
Q3	199.25
95-th percentile	338
Maximum	373
Range	373
Interquartile range (IQR)	177.25

Descriptive statistics

Standard deviation	111.6124711
Coefficient of variation (CV)	0.9553702158
Kurtosis	-0.640424192
Mean	116.8264085
Median Absolute Deviation (MAD)	61
Skewness	0.8152565497
Sum	663574
Variance	12457.34369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	110	1.9%
4	105	1.8%
3	98	1.7%
2	92	1.6%
10	86	1.5%
8	82	1.4%
17	79	1.4%
9	79	1.4%
7	77	1.4%
15	66	1.2%
Other values (294)	4806	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37	0.7%
1	110	1.9%
2	92	1.6%
3	98	1.7%
4	105	1.8%
5	52	0.9%
7	77	1.4%
8	82	1.4%
9	79	1.4%
10	86	1.5%

Value	Count	Frequency (%)
373	23	0.4%
372	22	0.4%
371	17	0.3%
369	4	0.1%
368	13	0.2%
367	16	0.3%
366	15	0.3%
365	19	0.3%
364	11	0.2%
362	7	0.1%

purchases_no
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.477464789

Minimum	1
Maximum	206
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	11
Maximum	206
Range	205
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	6.821203018
Coefficient of variation (CV)	1.961544813
Kurtosis	301.4334068
Mean	3.477464789
Median Absolute Deviation (MAD)	0
Skewness	13.1790814
Sum	19752
Variance	46.52881062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2858	50.3%
2	823	14.5%
3	503	8.9%
4	394	6.9%
5	237	4.2%
6	173	3.0%
7	138	2.4%
8	98	1.7%
9	69	1.2%
10	55	1.0%
Other values (46)	332	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2858	50.3%
2	823	14.5%
3	503	8.9%
4	394	6.9%
5	237	4.2%
6	173	3.0%
7	138	2.4%
8	98	1.7%
9	69	1.2%
10	55	1.0%

Value	Count	Frequency (%)
206	1	< 0.1%
199	1	< 0.1%
124	1	< 0.1%
97	1	< 0.1%
91	2	< 0.1%
86	1	< 0.1%
72	1	< 0.1%
62	2	< 0.1%
60	1	< 0.1%
57	1	< 0.1%

products_no
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	529
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	92.81619718

Minimum	1
Maximum	7838
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	14
median	41
Q3	107
95-th percentile	333
Maximum	7838
Range	7837
Interquartile range (IQR)	93

Descriptive statistics

Standard deviation	210.8144046
Coefficient of variation (CV)	2.271310514
Kurtosis	509.2830005
Mean	92.81619718
Median Absolute Deviation (MAD)	33
Skewness	17.73785676
Sum	527196
Variance	44442.71317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	253	4.5%
2	148	2.6%
3	107	1.9%
10	100	1.8%
6	98	1.7%
9	92	1.6%
5	90	1.6%
4	87	1.5%
7	82	1.4%
8	81	1.4%
Other values (519)	4542	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	253	4.5%
2	148	2.6%
3	107	1.9%
4	87	1.5%
5	90	1.6%
6	98	1.7%
7	82	1.4%
8	81	1.4%
9	92	1.6%
10	100	1.8%

Value	Count	Frequency (%)
7838	1	< 0.1%
5673	1	< 0.1%
5095	1	< 0.1%
4580	1	< 0.1%
2698	1	< 0.1%
2379	1	< 0.1%
2060	1	< 0.1%
1818	1	< 0.1%
1673	1	< 0.1%
1637	1	< 0.1%

items_no
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	1838
Distinct (%)	32.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	953.1933099

Minimum	1
Maximum	196844
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4.95
Q1	106
median	317.5
Q3	805.25
95-th percentile	2927.8
Maximum	196844
Range	196843
Interquartile range (IQR)	699.25

Descriptive statistics

Standard deviation	4194.544266
Coefficient of variation (CV)	4.400517946
Kurtosis	940.45997
Mean	953.1933099
Median Absolute Deviation (MAD)	253.5
Skewness	25.07233183
Sum	5414138
Variance	17594201.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	113	2.0%
2	71	1.2%
3	51	0.9%
4	49	0.9%
5	35	0.6%
6	29	0.5%
12	24	0.4%
88	21	0.4%
72	21	0.4%
7	20	0.4%
Other values (1828)	5246	92.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	113	2.0%
2	71	1.2%
3	51	0.9%
4	49	0.9%
5	35	0.6%
6	29	0.5%
7	20	0.4%
8	18	0.3%
9	7	0.1%
10	17	0.3%

Value	Count	Frequency (%)
196844	1	< 0.1%
80263	1	< 0.1%
77373	1	< 0.1%
69993	1	< 0.1%
64549	1	< 0.1%
64124	1	< 0.1%
63312	1	< 0.1%
58343	1	< 0.1%
57885	1	< 0.1%
50255	1	< 0.1%

frequency
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	1226
Distinct (%)	21.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5464380088

Minimum	0.005449591281
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	0.005449591281
5-th percentile	0.01102941176
Q1	0.02491103203
median	1
Q3	1
95-th percentile	1
Maximum	17
Range	16.99455041
Interquartile range (IQR)	0.975088968

Descriptive statistics

Standard deviation	0.5504756876
Coefficient of variation (CV)	1.007389088
Kurtosis	139.3159401
Mean	0.5464380088
Median Absolute Deviation (MAD)	0
Skewness	4.869368496
Sum	3103.76789
Variance	0.3030234826
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2866	50.5%
2	47	0.8%
0.02777777778	17	0.3%
0.0625	17	0.3%
0.02380952381	16	0.3%
0.08333333333	15	0.3%
0.09090909091	15	0.3%
0.02941176471	14	0.2%
0.03448275862	14	0.2%
0.02127659574	13	0.2%
Other values (1216)	2646	46.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.005449591281	1	< 0.1%
0.005464480874	1	< 0.1%
0.005479452055	1	< 0.1%
0.005494505495	1	< 0.1%
0.005586592179	2	< 0.1%
0.005602240896	1	< 0.1%
0.005617977528	2	< 0.1%
0.00566572238	1	< 0.1%
0.005681818182	2	< 0.1%
0.005698005698	3	0.1%

Value	Count	Frequency (%)
17	1	< 0.1%
4	1	< 0.1%
3	5	0.1%
2	47	0.8%
1.142857143	1	< 0.1%
1	2866	50.5%
0.75	1	< 0.1%
0.6666666667	3	0.1%
0.550802139	1	< 0.1%
0.5335120643	1	< 0.1%

returns_no
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	205
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.44542254

Minimum	0
Maximum	9014
Zeros	4191
Zeros (%)	73.8%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	37.05
Maximum	9014
Range	9014
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	203.6577215
Coefficient of variation (CV)	11.67399191
Kurtosis	1171.105899
Mean	17.44542254
Median Absolute Deviation (MAD)	0
Skewness	30.93860988
Sum	99090
Variance	41476.46753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4191	73.8%
1	169	3.0%
2	148	2.6%
3	105	1.8%
4	89	1.6%
6	78	1.4%
5	61	1.1%
12	51	0.9%
7	44	0.8%
8	43	0.8%
Other values (195)	701	12.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4191	73.8%
1	169	3.0%
2	148	2.6%
3	105	1.8%
4	89	1.6%
5	61	1.1%
6	78	1.4%
7	44	0.8%
8	43	0.8%
9	41	0.7%

Value	Count	Frequency (%)
9014	1	< 0.1%
8004	1	< 0.1%
4427	1	< 0.1%
3768	1	< 0.1%
3332	1	< 0.1%
2878	1	< 0.1%
2022	1	< 0.1%
2012	1	< 0.1%
1776	1	< 0.1%
1594	1	< 0.1%

satisfaction_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	1377
Distinct (%)	24.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9897925099

Minimum	0.01369863014
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	44.5 KiB

Quantile statistics

Minimum	0.01369863014
5-th percentile	0.9607100675
Q1	0.9990186393
median	1
Q3	1
95-th percentile	1
Maximum	1
Range	0.9863013699
Interquartile range (IQR)	0.0009813606672

Descriptive statistics

Standard deviation	0.04849027029
Coefficient of variation (CV)	0.04899033868
Kurtosis	104.431706
Mean	0.9897925099
Median Absolute Deviation (MAD)	0
Skewness	-9.067051101
Sum	5622.021456
Variance	0.002351306312
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	4191	73.8%
0.9903381643	4	0.1%
0.9892473118	4	0.1%
0.9756097561	3	0.1%
0.987804878	3	0.1%
0.9761904762	3	0.1%
0.9907407407	3	0.1%
0.9589041096	3	0.1%
0.9976905312	3	0.1%
0.9863945578	3	0.1%
Other values (1367)	1460	25.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01369863014	1	< 0.1%
0.1666666667	1	< 0.1%
0.3666666667	1	< 0.1%
0.3884892086	1	< 0.1%
0.3991163476	1	< 0.1%
0.4035433071	1	< 0.1%
0.4351145038	1	< 0.1%
0.4353612167	1	< 0.1%
0.4397959184	1	< 0.1%
0.4600938967	1	< 0.1%

Value	Count	Frequency (%)
1	4191	73.8%
0.9998830364	1	< 0.1%
0.9998160074	1	< 0.1%
0.9997183099	1	< 0.1%
0.9996859296	1	< 0.1%
0.9996380746	1	< 0.1%
0.9996367599	1	< 0.1%
0.9996362314	1	< 0.1%
0.9996328928	1	< 0.1%
0.9996069182	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	customer_id	gross_revenue	recency_days	purchases_no	products_no	items_no	frequency	returns_no	satisfaction_rate
0	0	17850	5391.21	372.0	34.0	297.0	1733.0	17.000000	40.0	0.976919
1	1	13047	3232.59	56.0	9.0	171.0	1390.0	0.028302	35.0	0.974820
2	2	12583	6705.38	2.0	15.0	232.0	5028.0	0.040323	50.0	0.990056
3	3	13748	948.25	95.0	5.0	28.0	439.0	0.017921	0.0	1.000000
4	4	15100	876.00	333.0	3.0	3.0	80.0	0.073171	22.0	0.725000
5	5	15291	4623.30	25.0	14.0	102.0	2102.0	0.040115	29.0	0.986204
6	6	14688	5630.87	7.0	21.0	327.0	3621.0	0.057221	399.0	0.889809
7	7	17809	5411.91	16.0	12.0	61.0	2057.0	0.033520	41.0	0.980068
8	8	15311	60767.90	0.0	91.0	2379.0	38194.0	0.243316	474.0	0.987590
9	9	16098	2005.63	87.0	7.0	67.0	613.0	0.024390	0.0	1.000000

Last rows

	df_index	customer_id	gross_revenue	recency_days	purchases_no	products_no	items_no	frequency	satisfaction_rate
5670	5761	22700	4839.42	1.0	1.0	62.0	1074.0	1.0	1.0
5671	5762	13298	360.00	1.0	1.0	2.0	96.0	1.0	1.0
5672	5763	14569	227.39	1.0	1.0	12.0	79.0	1.0	1.0
5673	5764	22704	17.90	1.0	1.0	7.0	14.0	1.0	1.0
5674	5765	22705	3.35	1.0	1.0	2.0	2.0	1.0	1.0
5675	5766	22706	5699.00	1.0	1.0	634.0	1747.0	1.0	1.0
5676	5767	22707	6756.06	0.0	1.0	730.0	2010.0	1.0	1.0
5677	5768	22708	3217.20	0.0	1.0	59.0	654.0	1.0	1.0
5678	5769	22709	3950.72	0.0	1.0	217.0	731.0	1.0	1.0
5679	5770	12713	794.55	0.0	1.0	37.0	505.0	1.0	1.0

Overview

Variables

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows